In-Nea Wang

According to our database, In-Nea Wang authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Enhancing Everyday Seizure Detection: A Channel Reduction Approach.

Minju Kim, Donghyeok Jo, In-Nea Wang, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

2021

Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface.

Minkyung Jung, Seho Lee, In-Nea Wang, Ha Yoon Song, Hakseung Kim, Dong-Joo Kim

Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

2020

An Ensemble Deep Learning Approach for Sleep Stage Classification via Single-channel EEG and EOG.

In-Nea Wang, Choel-Hui Lee, Hyun-Ji Kim, Hakseung Kim, Dong-Joo Kim

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Comparative Analysis of NIRS-EEG Motor Imagery Data Using Features from Spatial, Spectral and Temporal Domain.

Hyun-Ji Kim, In-Nea Wang, Young-Tak Kim, Hakseung Kim, Dong-Joo Kim

Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020

2019

Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification.

Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong, In-Nea Wang, Seong-Whan Lee, Dong-Joo Kim

Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

2018

Evaluation of outlier prevalence of density distribution in brain computed tomography: Comparison of kurtosis and quartile statistics.

In-Nea Wang, Hyun-Ji Kim, Eun-Ji Kim, Young-Tak Kim, Dong-Joo Kim

Proceedings of the 6th International Conference on Brain-Computer Interface, 2018